Correlation Between Asuransi Harta and Bank Pan
Can any of the company-specific risk be diversified away by investing in both Asuransi Harta and Bank Pan at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Asuransi Harta and Bank Pan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Asuransi Harta Aman and Bank Pan Indonesia, you can compare the effects of market volatilities on Asuransi Harta and Bank Pan and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Asuransi Harta with a short position of Bank Pan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asuransi Harta and Bank Pan.
Diversification Opportunities for Asuransi Harta and Bank Pan
-0.83 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Asuransi and Bank is -0.83. Overlapping area represents the amount of risk that can be diversified away by holding Asuransi Harta Aman and Bank Pan Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Pan Indonesia and Asuransi Harta is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Asuransi Harta Aman are associated (or correlated) with Bank Pan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Pan Indonesia has no effect on the direction of Asuransi Harta i.e., Asuransi Harta and Bank Pan go up and down completely randomly.
Pair Corralation between Asuransi Harta and Bank Pan
Assuming the 90 days trading horizon Asuransi Harta Aman is expected to under-perform the Bank Pan. But the stock apears to be less risky and, when comparing its historical volatility, Asuransi Harta Aman is 1.73 times less risky than Bank Pan. The stock trades about -0.19 of its potential returns per unit of risk. The Bank Pan Indonesia is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 145,000 in Bank Pan Indonesia on September 13, 2024 and sell it today you would earn a total of 57,000 from holding Bank Pan Indonesia or generate 39.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Asuransi Harta Aman vs. Bank Pan Indonesia
Performance |
Timeline |
Asuransi Harta Aman |
Bank Pan Indonesia |
Asuransi Harta and Bank Pan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asuransi Harta and Bank Pan
The main advantage of trading using opposite Asuransi Harta and Bank Pan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asuransi Harta position performs unexpectedly, Bank Pan can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bank Pan will offset losses from the drop in Bank Pan's long position.Asuransi Harta vs. Asuransi Bintang Tbk | Asuransi Harta vs. Asuransi Bina Dana | Asuransi Harta vs. Asuransi Dayin Mitra | Asuransi Harta vs. Asuransi Jasa Tania |
Bank Pan vs. Paninvest Tbk | Bank Pan vs. Maskapai Reasuransi Indonesia | Bank Pan vs. Panin Sekuritas Tbk | Bank Pan vs. Wahana Ottomitra Multiartha |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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